Leveraging PEPFAR-Supported Health Information Systems for COVID-19 Pandemic Response.

Since 2003, the US President's Emergency Plan for AIDS Relief (PEPFAR) has supported implementation and maintenance of health information systems for HIV/AIDS and related diseases, such as tuberculosis, in numerous countries. As the COVID-19 pandemic emerged, several countries conducted rapid assessments and enhanced existing PEPFAR-funded HIV and national health information systems to support COVID-19 surveillance data collection, analysis, visualization, and reporting needs. We describe efforts at the US Centers for Disease Control and Prevention (CDC) headquarters in Atlanta, Georgia, USA, and CDC country offices that enhanced existing health information systems in support COVID-19 pandemic response. We describe CDC activities in Haiti as an illustration of efforts in PEPFAR countries. We also describe how investments used to establish and maintain standards-based health information systems in resource-constrained settings can have positive effects on health systems beyond their original scope.

Building an Interactive Geospatial Visualization Application for National Health Care-Associated Infection Surveillance: Development Study.

BACKGROUND: The Centers for Disease Control and Prevention's (CDC's) National Healthcare Safety Network (NHSN) is the most widely used health care-associated infection (HAI) and antimicrobial use and resistance surveillance program in the United States. Over 37,000 health care facilities participate in the program and submit a large volume of surveillance data. These data are used by the facilities themselves, the CDC, and other agencies and organizations for a variety of purposes, including infection prevention, antimicrobial stewardship, and clinical quality measurement. Among the summary metrics made available by the NHSN are standardized infection ratios, which are used to identify HAI prevention needs and measure progress at the national, regional, state, and local levels. OBJECTIVE: To extend the use of geospatial methods and tools to NHSN data, and in turn to promote and inspire new uses of the rendered data for analysis and prevention purposes, we developed a web-enabled system that enables integrated visualization of HAI metrics and supporting data. METHODS: We leveraged geocoding and visualization technologies that are readily available and in current use to develop a web-enabled system designed to support visualization and interpretation of data submitted to the NHSN from geographically dispersed sites. The server-client model-based system enables users to access the application via a web browser. RESULTS: We integrated multiple data sets into a single-page dashboard designed to enable users to navigate across different HAI event types, choose specific health care facility or geographic locations for data displays, and scale across time units within identified periods. We launched the system for internal CDC use in January 2019. CONCLUSIONS: CDC NHSN statisticians, data analysts, and subject matter experts identified opportunities to extend the use of geospatial methods and tools to NHSN data and provided the impetus to develop NHSNViz. The development effort proceeded iteratively, with the developer adding or enhancing functionality and including additional data sets in a series of prototype versions, each of which incorporated user feedback. The initial production version of NHSNViz provides a new geospatial analytic resource built in accordance with CDC user requirements and extensible to additional users and uses in subsequent versions.

Building the foundations of an informatics agenda for global health - 2011 workshop report.

Strengthening the capacity of public health systems to protect and promote the health of the global population continues to be essential in an increasingly connected world. Informatics practices and principles can play an important role for improving global health response capacity. A critical step is to develop an informatics agenda for global health so that efforts can be prioritized and important global health issues addressed. With the aim of building a foundation for this agenda, the authors developed a workshop to examine the evidence in this domain, recognize the gaps, and document evidence-based recommendations. On 21 August 2011, at the 2011 Public Health Informatics Conference in Atlanta, GA, USA, a four-hour interactive workshop was conducted with 85 participants from 15 countries representing governmental organizations, private sector companies, academia, and non-governmental organizations. The workshop discussion followed an agenda of a plenary session - planning and agenda setting - and four tracks: Policy and governance; knowledge management, collaborative networks and global partnerships; capacity building; and globally reusable resources: metrics, tools, processes, templates, and digital assets. Track discussions examined the evidence base and the participants' experience to gather information about the current status, compelling and potential benefits, challenges, barriers, and gaps for global health informatics as well as document opportunities and recommendations. This report provides a summary of the discussions and key recommendations as a first step towards building an informatics agenda for global health. Attention to the identified topics and issues is expected to lead to measurable improvements in health equity, health outcomes, and impacts on population health. We propose the workshop report be used as a foundation for the development of the full agenda and a detailed roadmap for global health informatics activities based on further contribution from key stakeholders. The global health informatics agenda and roadmap can provide guidance to countries for developing and enhancing their individual and regional agendas.

Expert verification of the knowledge base of FEED--a feedback expert system for EMS documentation.

Feedback Expert System for Emergency Medical Services (EMS) Documentation (FEED) has a rule-based knowledge base (KB) that was verified against specifications in a focus group consisting of six experts. The focus group suggested changes in almost all rules discussed, indicating that the KB did not meet specifications at that stage of development. However, enough information was gathered to address these issues in the next iteration of development.

Instructions to "push as hard as you can" improve average chest compression depth in dispatcher-assisted cardiopulmonary resuscitation.

BACKGROUND AND OBJECTIVE: Cardiopulmonary resuscitation (CPR) with adequate chest compression depth appears to improve first shock success in cardiac arrest. We evaluate the effect of simplification of chest compression instructions on compression depth in dispatcher-assisted CPR protocol. METHODS: Data from two randomized, double-blinded, controlled trials with identical methodology were combined to obtain 332 records for this analysis. Subjects were randomized to either modified Medical Priority Dispatch System (MPDS) v11.2 protocol or a new simplified protocol. The main difference between the protocols was the instruction to "push as hard as you can" in the simplified protocol, compared to "push down firmly 2in. (5cm)" in MPDS. Data were recorded via a Laerdal ResusciAnne SkillReporter manikin. Primary outcome measures included: chest compression depth, proportion of compressions without error, with adequate depth and with total release. RESULTS: Instructions to "push as hard as you can", compared to "push down firmly 2in. (5cm)", resulted in improved chest compression depth (36.4 mm vs. 29.7 mm, p<0.0001), and improved median proportion of chest compressions done to the correct depth (32% vs. <1%, p<0.0001). No significant difference in median proportion of compressions with total release (100% for both) and average compression rate (99.7 min(-1) vs. 97.5 min(-1), p<0.56) was found. CONCLUSIONS: Modifying dispatcher-assisted CPR instructions by changing "push down firmly 2in. (5cm)" to "push as hard as you can" achieved improvement in chest compression depth at no cost to total release or average chest compression rate.

Instructions to "put the phone down" do not improve the quality of bystander initiated dispatcher-assisted cardiopulmonary resuscitation.

OBJECTIVE: The quality of early bystander CPR appears important in maximizing survival. This trial tests whether explicit instructions to "put the phone down" improve the quality of bystander initiated dispatch-assisted CPR. METHODS: In a randomized, double-blinded, controlled trial, subjects were randomized to a modified version of the Medical Priority Dispatch System (MPDS) version 11.2 protocol or a simplified protocol, each with or without instruction to "put the phone down" during CPR. Data were recorded from a Laerdal Resusci Anne Skillreporter manikin. A simulated emergency medical dispatcher, contacted by cell phone, delivered standardized instructions. Primary outcome measures included chest compression rate, depth, and the proportion of compressions without error, with correct hand position, adequate depth, and total release. Time was measured in two distinct ways: time required for initiation of CPR and total amount of time hands were off the chest during CPR. Proportions were analyzed by Wilcoxon rank sum tests and time variables with ANOVA. All tests used a two-sided alpha-level of 0.05. RESULTS: Two hundred and fifteen subjects were randomized-107 in the "put the phone down" instruction group and 108 in the group without "put the phone down" instructions. The groups were comparable across demographic and experiential variables. The additional instruction to "put the phone down" had no effect on the proportion of compressions administered without error, with the correct depth, and with the correct hand position. Likewise, "put the phone down" did not affect the average compression depth, the average compression rate, the total hands-off-chest time, or the time to initiate chest compressions. A statistically significant, yet trivial, effect was found in the proportion of compressions with total release of the chest wall. CONCLUSIONS: Instructions to "put the phone down" had no effect on the quality of bystander initiated dispatcher-assisted CPR in this trial.

Expert validation of the knowledge base for E-CAD - a pre-hospital dispatch triage decision support system.

The knowledge base (KB) for E-CAD (Enhanced Computer-Aided Dispatch), a triage decision support system for Emergency Medical Dispatch (EMD) of medical resources in trauma cases, is being evaluated. We aim to achieve expert consensus for validation and refinement of the E-CAD KB using the modified Delphi technique. Evidence-based, expert-validated and refined KB will provide improved EMD practice guidelines and may facilitate acceptance of the E-CAD by state-wide professionals.

Information needs of pre-hospital care providers - a requirements analysis.

To assess information needs of Emergency Medical Services (EMS) personnel and the potential of electronic decision support tools, we surveyed 39 paramedic students and practicing EMS personnel. We found frequent use of paper-based tools, with imperfect accessibility and ease of use. Potential electronic decision support tools were rated as helpful, but some alerts were rated low. The results may be helpful in design, implementation and research of electronic decision support tools for EMS.

A regional database of antidote availability.

Timely pre-hospital management of snake bite and poisoning cases is hindered by the lack of information about availability of antidotes in hospitals. We aim to build a regional antidote database by collecting real-time antidote stock information from hospital pharmacy inventory systems and make this information available to the emergency medical technicians (EMTs). This would save valuable time, leading to improved outcomes for the patients.

Development and testing of an algorithm for efficient resource positioning in pre-hospital emergency care.

Response times for pre-hospital emergency care may be improved with the use of algorithms that analyzes historical patterns in incident location and suggests optimal places for pre-positioning of emergency response units. We will develop such an algorithm based on cluster analysis and test whether it leads to significant improvement in mileage when compared to actual historical data of dispatching based on fixed stations.